Every property, owner, contact and client in one place — and this is the book Reggie reads from when he answers a question, drafts a note or spots an owner getting ready to move. Import what you already have and it is populated on day one.
Everything else in Revr stands on this layer, so it holds the fields the work actually needs — not a generic contact table with custom fields bolted on.
Every address in your book: owner, tenure, estimated value, equity, mortgage and the distress flags that make it worth a call.
Owners, past clients, referral sources and leads — with the numbers you traced saved once and reusable everywhere.
Buyers and sellers as one client book, so a past buyer coming back to sell is the same record, not a second one.
Pull the data on a property once and it stays on the row. Opening it again next month costs nothing.
A property has an owner, an owner is a contact, a contact can become a client. Change one and every view agrees.
Drop an MLS export, a past-client list or a farm list in and Reggie reads it, maps the columns and files the rows.
One book per workspace, so a teammate covering your showing sees the same history you do.
Your records are never used to train a model, and every row is isolated to your workspace.
When you pull owner data on a property, it is written onto the row — value, equity, mortgage position, tenure and the flags. Next month it is still there, free, and it is what Reggie reads when he decides whether this owner is worth a call today.
Nobody starts by typing their farm into a new CRM. Hand Reggie the exports you already live with and he reads them — mapping columns, matching rows to properties, and telling you what he could not place instead of quietly dropping it.
Import your properties, past clients and contacts and Reggie starts working the moment the file lands.
← Revr for Agents